Inclusion-Exclusion Principle/Examples/3 Events in Event Space
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Examples of Use of Inclusion-Exclusion Principle
Let $\struct {\Omega, \Sigma, \Pr}$ be a probability space.
Let $A, B, C \in \Sigma$.
Then:
\(\ds \map \Pr {A \cup B \cup C}\) | \(=\) | \(\ds \map \Pr A + \map \Pr B + \map \Pr C\) | ||||||||||||
\(\ds \) | \(\) | \(\, \ds - \, \) | \(\ds \map \Pr {A \cap B} - \map \Pr {B \cap C} - \map \Pr {A \cap C}\) | |||||||||||
\(\ds \) | \(\) | \(\, \ds + \, \) | \(\ds \map \Pr {A \cap B \cap C}\) |
Proof
The Inclusion-Exclusion Principle is applicable for an additive function on an algebra of sets.
We have that $\Sigma$ is a $\sigma$-algebra.
Hence by definition, $\Sigma$ is an algebra of sets which is closed under countable unions.
Hence, a fortiori, $\Sigma$ is an algebra of sets.
We have by definition of probability measure, that $\Pr$ is an additive function fulfilling certain conditions.
The result then follows as a special case of the Inclusion-Exclusion Principle.
$\blacksquare$
Sources
- 1986: Geoffrey Grimmett and Dominic Welsh: Probability: An Introduction ... (previous) ... (next): $1$: Events and probabilities: $1.4$: Probability spaces: Exercise $8$